Nexa Resources (NEXA) Price to Book (2017 - 2025)
Nexa Resources' (NEXA) Price to Book came in at 0.91 for Q4 2025, down 17.3% from 1.10 a year earlier.
Analysis
Nexa Resources (NEXA) Price to Book (2017 - 2025) Analysis & Trends
Since Q4 2017, Nexa Resources has reported Price to Book for 29 quarters.
- In prior years, Nexa Resources' Price to Book was 1.10 in FY2024 (+68.8%), 0.65 in FY2023 (+39.3%), 0.47 in FY2022 (-26.2%) and 0.63 in FY2021 (-19.5%).
- The Q4 2025 figure stands as the lowest quarterly Price to Book since Q3 2024.
- On a year-over-year basis, Price to Book increased in four of the last five quarters, with growth averaging 48.6%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q1 2021, with growth of 224.6%; the weakest was Q3 2022, with a decline of 35.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Nexa Resources | 1.61 Bn | 93.67 Mn | 257.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.91 |
| Dec 31, 2024 | 1.10 |
| Sep 30, 2024 | 0.76 |
| Jun 30, 2024 | 0.81 |
| Mar 31, 2024 | 0.67 |
| Dec 31, 2023 | 0.65 |
| Sep 30, 2023 | 0.52 |
| Jun 30, 2023 | 0.39 |
| Mar 31, 2023 | 0.49 |
| Dec 31, 2022 | 0.47 |
| Sep 30, 2022 | 0.39 |
| Jun 30, 2022 | 0.43 |
| Mar 31, 2022 | 0.67 |
| Dec 31, 2021 | 0.63 |
| Sep 30, 2021 | 0.61 |
| Jun 30, 2021 | 0.67 |
| Mar 31, 2021 | 0.87 |
| Dec 31, 2020 | 0.79 |
| Sep 30, 2020 | 0.45 |
| Jun 30, 2020 | 0.55 |
API Access
Nexa Resources Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=NEXA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NEXA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=NEXA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();